Lead Analytics Engineer

About the role

WE’RE ON A MISSION TO BACK THE UK’S SMALL BUSINESSES LIKE NO ONE ELSE 🚀

Small businesses are the backbone of the economy, and we’re here to help them win. We’ve built a platform that uses clever data to get them the funding they need in minutes, not weeks.

At Funding Circle, we have the restless energy of a fintech start-up with the stability of a public company. It’s a unique mix that gives Circlers the autonomy to take ownership and the scale to make an impact that truly counts.

We’re a high-performing team that chooses to lift each other up. We challenge, we champion, and we have each other’s backs - because we know that when we stand together, we move faster and build better.

The impact is real: Last year alone, the businesses on our platform generated £7.2bn for the UK economy 📈 Come and join a mission that matters!

[Read our Impact Report https://www.fundingcircle.com/uk/impact] | [See our Trustpilot https://uk.trustpilot.com/review/fundingcircle.com]

THE ROLE ⚡

📍 London (Hybrid) | 🤝 2 days in the office | 💰 Competitive Salary + Benefits

You’ll make a real difference for our customers and your team from day one. We believe the fastest way to grow is by doing, so we give you the ownership to run with things and see real-time results.

- Owns the data modelling strategy, sets standards for data modelling, transformations, and governance.

- Leads the design and implementation of new features,, such as the creation of a new star schema and other best practices to optimise data usability.

- Sets best practices and standards on how we use SQL & dbt / Python / Pyspark and/or other languages to solve business problems.

- Becomes an expert in the business subject area the team are working on, holding expertise on both the business requirements as well as the technical implementation.

- Delivers high quality code, provides technical mentorship and ensures the team is building scalable, maintainable data models.

- Co-owns the backlog with the Engineering Manager and helps to break down technical requirements.

WHAT WE’RE LOOKING FOR 🌱

We value deep expertise, but a growth mindset and good energy are what really make our team click. We’re a group that chooses to lift each other up and think smart every day.

- Extensive experience in SQL / Python / Pyspark and/or other languages relevant to data processing

- Extensive experience in dbt and ideally Airflow (or other orchestration tools)

- Extensive experience in Entity-Relationship modelling and Dimensional modelling

- Experience with Cloud Data Warehousing (eg Snowflake, Databricks or BigQuery) and Cloud (AWS, GCP or Azure)

- Familiarity with Tableau

- Excellent communication and problem solving skills and the ability to translate business requirements into technical requirements

- Able to architect custom AI solutions and smart automated systems that are safe, maintainable, and aligned with our long-term mission